Task accelerators in a HealthOmics workflow definition - AWS HealthOmics

Task accelerators in a HealthOmics workflow definition

In the workflow definition, you can optionally specify the GPU accelerator-spec for a task. HealthOmics supports the following accelerator-spec values, along with the supported instance types:

Accelerator spec Healthomics instance types
nvidia-tesla-t4 G4
nvidia-tesla-t4-a10g G4 and G5
nvidia-tesla-a10g G5
nvidia-t4-a10g-l4 G4, G5, and G6
nvidia-l4-a10g G5 and G6
nvidia-l4 G6
nvidia-l40s G6e

If you specify an accelerator type that supports multiple instance types, HealthOmics selects the instance type based on available capacity. If both instance types are available, HealthOmics gives preference to the lower cost instance. The exception is for the nvidia-t4-a10g-l4 task accelerator which gives preference to the latest generation instance available.

For details about the instance types, see Accelerated-computing instances.

In the following example, the workflow definition specifies nvidia-l4 as the accelerator:

WDL
task my_task { runtime { ... acceleratorCount: 1 acceleratorType: "nvidia-l4" } ... }
NextFlow
process my_task { ... accelerator 1, type: "nvidia-l4" ... }
CWL
cwlVersion: v1.2 class: CommandLineTool requirements: ... cwltool:CUDARequirement: cudaDeviceCountMin: 1 cudaComputeCapability: "nvidia-l4" cudaVersionMin: "1.0"